A Step-by-Step Guide to Building a Football Data Scraperby@zoltanbettenbuk
1,060 reads
1,060 reads

A Step-by-Step Guide to Building a Football Data Scraper

by Zoltan Bettenbuk10mMay 24th, 2022
Read on Terminal Reader
Read this story w/o Javascript
tldt arrow

Too Long; Didn't Read

Scraping football data (or soccer in the US) is a great way to build a comprehensive dataset that can then be used to help us create stats dashboards, run cross-analysis and use the insights for sports journalism or fantasy leagues. In this tutorial, we’re going to create a simple football data scraper with Axios and Cheerio in Node.js. You’ll be able to follow along with this tutorial without any prior knowledge, you'll need a little experience in web scraping to make the most out of it.

Companies Mentioned

Mention Thumbnail
Mention Thumbnail
featured image - A Step-by-Step Guide to Building a Football Data Scraper
Zoltan Bettenbuk HackerNoon profile picture
Zoltan Bettenbuk

Zoltan Bettenbuk

@zoltanbettenbuk

Zoltan Bettenbuk is the CTO at Scraper API, a software tool that allows companies to collect data with an API call.

Learn More
LEARN MORE ABOUT @ZOLTANBETTENBUK'S
EXPERTISE AND PLACE ON THE INTERNET.
L O A D I N G
. . . comments & more!

About Author

Zoltan Bettenbuk HackerNoon profile picture
Zoltan Bettenbuk@zoltanbettenbuk
Zoltan Bettenbuk is the CTO at Scraper API, a software tool that allows companies to collect data with an API call.

TOPICS

THIS ARTICLE WAS FEATURED IN...

Permanent on Arweave
Read on Terminal Reader
Read this story in a terminal
 Terminal
Read this story w/o Javascript
Read this story w/o Javascript
 Lite